RuleMonkey: software for stochastic simulation of rule-based models
Background The system-level dynamics of many molecular interactions, particularly protein-protein interactions, can be conveniently represented using reaction rules, which can be specified using model-specification languages, such as the BioNetGen ...
Hlavacek William S +5 more
doaj +1 more source
Delays in Model Reduction of Chemical Reaction Networks
Abstract A novel engineering model reduction method is proposed in this paper that can be applied to a chemical reaction network (CRN) with chains of linear reactions. The reduced model is a delayed CRN with possibly different delays but with less state variables than the original model.
György Lipták, Katalin M. Hangos
openaire +1 more source
Efficient multi-fidelity computation of blood coagulation under flow.
Clot formation is a crucial process that prevents bleeding, but can lead to severe disorders when imbalanced. This process is regulated by the coagulation cascade, a biochemical network that controls the enzyme thrombin, which converts soluble fibrinogen
Manuel Guerrero-Hurtado +8 more
doaj +1 more source
Predicting potentially hazardous chemical reactions using an explainable neural network
Predicting potentially dangerous chemical reactions is a critical task for laboratory safety. However, a traditional experimental investigation of reaction conditions for possible hazardous or explosive byproducts entails substantial time and cost, for ...
Juhwan Kim +6 more
semanticscholar +1 more source
Generic Strategies for Chemical Space Exploration [PDF]
Computational approaches to exploring "chemical universes", i.e., very large sets, potentially infinite sets of compounds that can be constructed by a prescribed collection of reaction mechanisms, in practice suffer from a combinatorial explosion.
Andersen, Jakob L. +3 more
core +1 more source
A reaction network approach to the convergence to equilibrium of quantum Boltzmann equations for Bose gases [PDF]
When the temperature of a trapped Bose gas is below the Bose-Einstein transition temperature and above absolute zero, the gas is composed of two distinct components: the Bose-Einstein condensate and the cloud of thermal excitations.
G. Craciun, Minh-Binh Tran
semanticscholar +1 more source
Piecewise linear models of chemical reaction networks
We show that certain non-linear dynamical systems with non-linearities in the form of Hill functions, can be approximated by piecewise linear dynamical systems. The resulting piecewise systems have closed form solutions that can be used to understand the behavior of the fully nonlinear system.
Kumar, Ajit, Josić, Krešimir
openaire +2 more sources
A scalable algorithm to explore the Gibbs energy landscape of genome-scale metabolic networks. [PDF]
The integration of various types of genomic data into predictive models of biological networks is one of the main challenges currently faced by computational biology.
Daniele De Martino +3 more
doaj +1 more source
Exploiting network topology for large-scale inference of nonlinear reaction models
The development of chemical reaction models aids understanding and prediction in areas ranging from biology to electrochemistry and combustion. A systematic approach to building reaction network models uses observational data not only to estimate unknown
Galagali, Nikhil, Marzouk, Youssef M.
core +2 more sources
Reduction of dynamical biochemical reaction networks in computational biology [PDF]
Biochemical networks are used in computational biology, to model the static and dynamical details of systems involved in cell signaling, metabolism, and regulation of gene expression.
Gorban, Alexander N. +3 more
core +6 more sources

